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Investment thesis

Portfolio optimisation — economic intuition. Given a universe of imperfectly-correlated return streams, convex optimisation (Markowitz, risk-parity, recursive decay) produces weights that dominate naive equal-weight on a risk-adjusted basis. The edge is not in alpha discovery but in the disciplined combination of existing signals — consistent with institutional multi-manager allocation.

Risk-adjusted performance — live track record

Forward-tested daily against live market data. Metrics derived from end-of-day portfolio marks; methodology documented on the Due Diligence and About pages.

ReturnValueRisk-adjustedValue
Current portfolio worth$13715.33Sharpe ratio2.35
Total return37.15%Sortino ratio2.24
CAGR250.53%Calmar ratio12.16
Volatility (annualised)54.82%Profit factor1.75
Days live71Maximum drawdown-20.60%

Process consistency

Positive months66.7%
Best month34.96%
Worst month-2.32%
Recovery from max drawdownstill underwater

Market independence

Correlation and beta versus passive benchmarks, computed over the full live series.

BenchmarkCorrelation90-day rolling correlationBeta
S&P 500 (SPY)0.790.003.90
Bitcoin (BTC-USD)0.200.000.34

A correlation materially below 1.0 to both benchmarks indicates the strategy’s returns are not a simple re-expression of long equity or long crypto beta.

Equity curve

Live track record — forward-tested performance from the strategy's production start date.

RecursiveDecayHarvestBot live equity curve

Drawdown profile

Underwater curve — percentage below the running high-water mark. Institutional allocators read this before the equity curve.

RecursiveDecayHarvestBot drawdown profile

Current holdings

SymbolQuantity
TQQQ166.0854
USD0.0000

Research & documentation

🛡️ Skin in the game: Our principals and founders deploy their own capital alongside our clients using these exact quantitative models. We are aligned with your downside.

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For professional investors

Request the investor deck, DDQ, and extended analytics. Firm-gated and reviewed manually.

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